• The Mathematical Education
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• v.53 no.1
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• pp.75-92
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• 2014

In this paper, we summarize briefly some of the most salient features of Repkina & Zaika's theory of learning action formation levels. We concretize Repkina & Zaika's theory by comparing various points of view of Uoo, Polya, Krutetskii, and Davydov et al. In this study we are able to diagnose students' learning action formation levels in the process of mathematics problem solving. In addition we use interview method to collect various information about students' levels. As a result we suggest data related with each level of learning action formation, and characteristics of students who belong to each level of learning action formation.

• Journal of the Korea Institute of Building Construction
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• v.13 no.1
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• pp.10-19
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• 2013

Companies want universities to produce graduates with creativity and problem-solving skills, and for this reason universities have extended engineering design education, including in the field of architectural engineering. This paper investigates an engineering design class in the Department of Architectural Engineering, J University. The class was taught in 2010 and 2011using an Action Learning (AL) teaching-learning strategy. The students responded that the level of participation and satisfaction was high in the Action Learning classes, and role allocation or responsibility and communication of the project teams were very effective. But it was also found that as Action Learning is such a new method for students of engineering design, an orientation session that describes what to do and what to prepare should be given before the class starts.

• Human Ecology Research
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• v.58 no.4
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• pp.561-583
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• 2020

This study developed and implemented a teaching · learning process plan for Home Economics in middle school by converging Habermas's three systems of action. It also examined the effect of the class through the evaluation of students and teachers who participated in the class. This study developed 10 sessions for a teaching and learning process plan by converging three systems of action and reconstructing learning elements related to 'balanced meal plan' and 'food choice' according to the practical action teaching model. After class, we surveyed the degree of help for students, analyzed the learning activity sheets, and analyzed the reflection journals of teachers to evaluate the effects of the class. This class was found to be the most helpful in practicing the healthy dietary life of students, expanding their thoughts, understanding learning contents, and helping them change their lives. As a result of analyzing the learning activity sheet, students gained enlightenment by reflecting and evaluating their action through the class; in addition, changes in interest, awareness, and action appeared. Through the convergence of three systems of action, teachers who practiced the class criticized and realized the act that students were unconsciously accepted. In addition, it confirmed the possibility that students could change their lives, family and society by promoting optimal nutrition and health for a good life that pursues the best good.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.525-538
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• 2018

Action learning is a teaching method that is taught through the process of finding real problems and finding solutions. The purpose of this study was to examine the effectiveness of action learning for the college course 'media education for children' which was offered by the Department of Child Psychology and Education at S university in Seoul. According to the process of action learning suggested by Marquardt(2000), college students developed the problem of children's news literacy education and set the purpose, goal and contents of news literacy and developed teaching and learning method for the 6th grade elementary students and applied it to the education field. The college students' evaluation about the action learning lesson were collected by questionnaire and verbal. They found that active and voluntary problem-solving and field application through action learning helped to achieve the goals of the children's media education class. Finally, the importance of close cooperation with the educational field and of appropriate feedback were discussed as a necessary condition of action learning teaching method.

• The Journal of Korea Robotics Society
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• v.15 no.4
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• pp.404-412
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• 2020

Typically everyday human life tasks involve at least two people moving objects such as tables and beds, and the balancing of such object changes based on one person's action. However, many studies in previous work performed their tasks solely on robots without factoring human cooperation. Therefore, in this paper, we propose cooperative robot for table balancing using Q-learning that enables cooperative work between human and robot. The human's action is recognized in order to balance the table by the proposed robot whose camera takes the image of the table's state, and it performs the table-balancing action according to the recognized human action without high performance equipment. The classification of human action uses a deep learning technology, specifically AlexNet, and has an accuracy of 96.9% over 10-fold cross-validation. The experiment of Q-learning was carried out over 2,000 episodes with 200 trials. The overall results of the proposed Q-learning show that the Q function stably converged at this number of episodes. This stable convergence determined Q-learning policies for the robot actions. Video of the robotic cooperation with human over the table balancing task using the proposed Q-Learning can be found at http://ibot.knu.ac.kr/videocooperation.html.

• Nuclear Engineering and Technology
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• v.54 no.9
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• pp.3283-3292
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• 2022

Based on the Deep Q-Network(DQN) algorithm of reinforcement learning, an active fault-tolerance method with incremental action is proposed for the control system with sensor faults of the once-through steam generator(OTSG). In this paper, we first establish the OTSG model as the interaction environment for the agent of reinforcement learning. The reinforcement learning agent chooses an action according to the system state obtained by the pressure sensor, the incremental action can gradually approach the optimal strategy for the current fault, and then the agent updates the network by different rewards obtained in the interaction process. In this way, we can transform the active fault tolerant control process of the OTSG to the reinforcement learning agent's decision-making process. The comparison experiments compared with the traditional reinforcement learning algorithm(RL) with fixed strategies show that the active fault-tolerant controller designed in this paper can accurately and rapidly control under sensor faults so that the pressure of the OTSG can be stabilized near the set-point value, and the OTSG can run normally and stably.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.525-530
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• 2013

The importance of engineering design increases due to the expansion of engineering education certification. But there are not much teaching methods and examples of engineering design to be referred to the college classes. This paper introduces a new teaching and learning method of Action Learning adopted to a engineering design class in the Department of Architectural Engineering, J University in Korea. The class included a team project to find problems of facilities or safety management factors in a building construction site, and to provide the alternatives to solve the problems. The Action Learning helped to improve the learning effect of students and to increase the quality of the project deliverables.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.377-384
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• 2007

This paper is about how to establish the strategic teaming organization in digital age. Through the case study of action teaming, this research can give some implications to small-sized organizations who want to establish teaming culture and positive activities in their own companies. The case site was S-steel, which belongs to the steel industry. To improve and drive teaming activities, I made use of skills: action learning, fishbone analysis, creative thinking, brainstorming, creative discussion skill, and organization diagnostic method.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.8 no.3
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• pp.220-224
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• 2008

This paper presents the polygon-based Q-leaning and Parallel SVM algorithm for object search with multiple robots. We organized an experimental environment with one hundred mobile robots, two hundred obstacles, and ten objects. Then we sent the robots to a hallway, where some obstacles were lying about, to search for a hidden object. In experiment, we used four different control methods: a random search, a fusion model with Distance-based action making (DBAM) and Area-based action making (ABAM) process to determine the next action of the robots, and hexagon-based Q-learning, and dodecagon-based Q-learning and parallel SVM algorithm to enhance the fusion model with Distance-based action making (DBAM) and Area-based action making (ABAM) process. In this paper, the result show that dodecagon-based Q-learning and parallel SVM algorithm is better than the other algorithm to tracking for object.

• Journal of Radiation Protection and Research
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• v.38 no.1
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• pp.10-21
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• 2013

Action Learning is a teaching-learning method to solve a problem through which members in a team discuss the problem and a facilitator supports the members in the team. The Action Learning makes learners develop human-relationship skills, which are connected to the value of social capital in the modern society. The purpose of this study is to clarify the relationship between action learning and social capital with 17 participants who joined in a nuclear education course opened in the Korea Atomic Energy Research Institute. The result showed that the action learning positively influenced the social capital among members in the team. Consequently, it is easily recognized that action learning is one of positive teaching-learning methods to achieve educational purposes of a organization and should be more developed in the future.